Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment
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DOI: 10.1007/s10640-019-00379-y
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Cited by:
- Deely, John & Hynes, Stephen, 2020. "Preferences for Blue-Green or Grey Infrastructure to Reduce Flood Risk: A Choice Experiment," Working Papers 309506, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
- Adloff, Susann & Rehdanz, Katrin, 2023. "Wait and see? Public preferences for the temporal effectiveness of coastal protection," Ecological Economics, Elsevier, vol. 204(PA).
- Christos Makriyannis & Robert J. Johnston & Ewa Zawojska, 2022. "Do numerical probabilities promote informed stated preference responses under inherent uncertainty? Insight from a coastal adaptation choice experiment," Working Papers 2022-05, Faculty of Economic Sciences, University of Warsaw.
- Jing Huang & Weiwei Cao & Huimin Wang & Zhiqiang Wang, 2020. "Affect Path to Flood Protective Coping Behaviors Using SEM Based on a Survey in Shenzhen, China," IJERPH, MDPI, vol. 17(3), pages 1-17, February.
- Toledo-Gallegos, Valeria M. & My, Nguyen H.D. & Tuan, Tran Huu & Börger, Tobias, 2022. "Valuing ecosystem services and disservices of blue/green infrastructure. Evidence from a choice experiment in Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 114-128.
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More about this item
Keywords
Lottery game; Choice experiment; Flood risk; Bayesian model averaging; Risk attitudes;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
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